Data application sharing platform and method

Abstract

The invention belongs to the field of information technology of big data sharing services and discloses a data application sharing platform and method. Therefore, data can be rapidly obtained. The data service capability and the visualization capability of query statistics and analysis reports are dynamically generated. The complexity of composite heterogeneous data access in a big data environment is shielded. The platform comprises a data synchronization unit, a data coordination unit, a high-concurrency visit unit, a data source dynamic-adapting unit, a dynamic search unit, a dynamic reportunit, a metadata application unit and an upper-layer support application unit. After application, the integration difficulty in a data layer and an application layer of a production business system is reduced. Meanwhile, complicated and repeated query statistics and analysis report development in business applications are solved. The development efficiency is increased and development cost is lowered.

Description

technical field [0001] The invention belongs to the technical field of big data sharing service information systems, and in particular relates to a data application sharing platform and method. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: [0003] Nowadays, more and more enterprise application architectures or Internet application architectures are built based on hybrid databases. At the same time, with the long-term operation of applications and the increase in business volume, the amount of data is getting larger and larger, making the routine business transaction processing and The query performance is getting more and more difficult, and we have to use operations such as database tables, read-write separation, and data archiving to segment and isolate the data, so that the business database remains lightweight to support the production business of the application; such data It cannot support the basic...

AI Technical Summary

Problems solved by technology

[0006] The existing data application sharing platform cannot perform data synchronization and collaboration of mixed multi-databases; it cannot quickly query the full amount of data under a large amount of data; the high concurrent access speed of big data offline analysis is slow; multi-data source adaptation ability, multi-query Poor script analysis ability and data secondary processing ability; low efficiency and high development cost of query statistics and analysis report development; poor security and online real-time computing ability

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